Lead Hardware Architect

ABOUT ARAGO

The demand for more intelligence continues to accelerate in every industry, application, and device. Yet, general-purpose processors, cannot take us much farther. To unlock the next breakthroughs, Arago is developing a processor that harnesses the unique physical properties of light to address both memory and computational limitations.

We are a team of AI engineers and physicists who believe in great science and fast achievements. We’re looking for bold jack-of-all-trades who love to ship products quickly.

Our team is driven by these core values:

1. Do great things : We’re going after a 10x, not 10%. It requires intensity, craftsmanship and great science

2. We move as one : Our relationships are built on trust and mutual admiration. We feel empowered and fortunate to collaborate with one another.

3. Keep looking ahead : Lasting technologies and impactful ventures are not built overnight. We take it one step at a time, with velocity.

OVERALL MISSION

Lead the development of the digital co-processor for Arago's AI accelerator system.

DESIRED SKILL SET

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field.

• Experience with architecting and designing ML accelerator hardware IP (GPU, TPU, NPU)

• Experience in micro-architecture, power and performance optimization.

• Experience collaborating cross-functionally with algorithm and software development teams.

• Experience in machine learning algorithm, workloads analysis, performance/power evaluation, and architecture optimizations.

• Fundamental understanding of modern processor architectures (e.g., tensor cores, systolic arrays) and instruction sets (Arm, RISC-V, x86).

• Experience in ASIC design for interfacing high-frequency analog/mixed-signal circuits with digital logic is a real plus.

MISSIONS & RESPONSABILITIES

• Define the architectural features and requirements of the ASIC for integration with Arago's matmul unit and external memory systems.

• Perform in-depth data analysis and tradeoff evaluations to optimize ASIC architecture solutions.

• Enhance ASIC architecture to improve PPA based on machine learning workload analysis.

• Benchmark and integrate existing IPs and subsystems.

• Identify and drive power, performance, and area improvements for the owned modules.

REWARDS & PERKS

• Competitive cash compensation that reflects your expertise and experience.

• Stock options.

• Ownership of a key technical area.

• Being part of the very early days of one of the hottest AI startups (still in stealth mode).

• A fun, dynamic, and multicultural team in a collaborative work environment.

• Exciting growth opportunities.

SELECTION PROCESS

1. CV and technical project reviews.

2. 45-minute call with the CEO.

3. Take-home technical assignment.

4. 1-hour technical call with the CTO, CSO, CEO and potential other team members.